Telegram AI Assistant for Multilingual Metadata Generation
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Automate the generation of structured metadata in both English and Chinese using a Telegram bot and OpenAI.
About This Workflow
This workflow leverages n8n to create an intelligent Telegram bot capable of processing user messages and generating structured metadata. It utilizes OpenAI's language models to understand user input and produce outputs in both English and Chinese, facilitating multilingual content creation and management.
Key Features
- Real-time message processing via Telegram.
- Advanced natural language understanding and generation with OpenAI.
- Automatic generation of metadata in English and Chinese.
- Flexible metadata structure based on AI model output.
- Seamless integration with Telegram for user interaction.
How To Use
- Telegram Trigger: Configure the
Telegram Triggernode to receive messages from your Telegram bot. - AI Agent: The
AI Agentnode processes the incoming Telegram message. Thetextparameter can be customized to define the prompt for the AI. In this example, it's set toRespond to this as a helpful assistant with emojis: {{ $json.message.text }}. This node is connected to theOpenAI Chat Modelfor language processing. - OpenAI Chat Model: This node provides the language model capabilities for the
AI Agent. - Telegram: The
Telegramnode sends the AI-generated output back to the user via the Telegram chat. Thetextparameter is set to={{ $json.output }}to capture the AI's response, andchatIdis dynamically retrieved from the incoming Telegram message.
Apps Used
Workflow JSON
{
"id": "71f0d4c1-7203-4f0d-b976-bd04dcef3a7a",
"name": "Telegram AI Assistant for Multilingual Metadata Generation",
"nodes": 9,
"category": "AI & Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 71f0d4c1-7203...
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